Robust output formation control for swarm systems with nonlinear uncertainties in directed networks

被引:0
作者
Chai, Xiaofeng [1 ]
Wang, Qing [1 ]
Yu, Yao [1 ]
机构
[1] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
来源
PROCEEDINGS 2018 33RD YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC) | 2018年
基金
中国国家自然科学基金;
关键词
Swarm system; Output formation; Nonlinear uncertainties; Robust controller; MOBILE ROBOTS; VEHICLES;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this study, output formation control problems for high-order time-invariant swarm systems with unknown nonlinear uncertainties and directed interaction topologies are studied using a robust controller. First, the dimensions of the observation matrix are extended to be non-singular. Then the output formation problem is transformed into consensus problem. Based on observability decomposition, the consensus problem is transformed into stability problem. Further more, A robust controller which consists of a nominal controller and a robust compensator is applied to achieve formation control. The nominal controller based on the output feedback is designed to achieve desired output formation properties for the nominal system and the robust compensator based on the robust signal compensator technology is to restrain the nonlinear uncertainties. The proposed controller is linear, time invariant and easy to implement. Based on partial stability theory, sufficient and necessary conditions for output formation feasibility are given and the formation errors can be made as small as desired with expected convergence rate.
引用
收藏
页码:940 / 945
页数:6
相关论文
共 19 条
[1]   A vision-based formation control framework [J].
Das, AK ;
Fierro, R ;
Kumar, V ;
Ostrowski, JP ;
Spletzer, J ;
Taylor, CJ .
IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 2002, 18 (05) :813-825
[2]  
Dong X, 2016, SPRINGER THESES-RECO, P1, DOI 10.1007/978-3-662-47836-3
[3]   Time-varying output formation control for high-order linear time-invariant swarm systems [J].
Dong, Xiwang ;
Shi, Zongying ;
Lu, Geng ;
Zhong, Yisheng .
INFORMATION SCIENCES, 2015, 298 :36-52
[4]   Time-Varying Formation Control for Unmanned Aerial Vehicles: Theories and Applications [J].
Dong, Xiwang ;
Yu, Bocheng ;
Shi, Zongying ;
Zhong, Yisheng .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2015, 23 (01) :340-348
[5]  
Godsil C., 2010, Algebraic Graph Theory
[6]   Decentralized control of vehicle formations [J].
Lafferriere, G ;
Williams, A ;
Caughman, J ;
Veerman, JJP .
SYSTEMS & CONTROL LETTERS, 2005, 54 (09) :899-910
[7]   Leader-following formation control for second-order multiagent systems with time-varying delay and nonlinear dynamics [J].
Li, Weixun ;
Chen, Zengqiang ;
Liu, Zhongxin .
NONLINEAR DYNAMICS, 2013, 72 (04) :803-812
[8]   Aggressive Attitude Control of Unmanned Rotor Helicopters Using a Robust Controller [J].
Lu, Geng .
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2015, 80 (01) :165-180
[9]   A survey of multi-agent formation control [J].
Oh, Kwang-Kyo ;
Park, Myoung-Chul ;
Ahn, Hyo-Sung .
AUTOMATICA, 2015, 53 :424-440
[10]   Robust adaptive formation control of underactuated autonomous surface vehicles with uncertain dynamics [J].
Peng, Z. ;
Wang, D. ;
Hu, X. .
IET CONTROL THEORY AND APPLICATIONS, 2011, 5 (12) :1378-1387